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Screening for impaired glucose tolerance in obese children and adolescents: a validation and implementation study

2013· article· en· W1886812887 on OpenAlexaboutno aff
Anita Morandi, M. Maschio, Marco Marigliano, Emanuele Miraglia del Giudice, B Gonzalez Martin Moro, P. Peverelli, C Maffeis

Bibliographic record

VenuePediatric Obesity · 2013
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImpaired glucose toleranceCohortInternal medicineImpaired fasting glucoseGlucose tolerance testEndocrinologyCohort studyObesityInsulin resistancePlasma glucoseInsulin

Abstract

fetched live from OpenAlex

UNLABELLED: What is already known about this subject Fasting triglycerides above 1.17 mmol/L have been shown to be useful to select obese children and adolescents who may present impaired glucose tolerance in a Canadian cohort. Fasting plasma glucose is associated with the risk to present impaired glucose tolerance in several cohorts of obese children and adolescents. What this study adds When applied to Italian cohorts of obese children and adolescents, the triglycerides cut-off of 1.17 mmol/L has similar validity as in the Canadian cohort to select patients who may present impaired glucose tolerance. Fasting plasma glucose and fasting triglycerides can be combined to obtain an accurate criterion to select obese children and adolescents who may present impaired glucose tolerance. OBJECTIVES: We aimed to validate fasting triglycerides > 1.17 mmol L(-1) , a criterion recently proposed for selecting obese children at risk of impaired glucose tolerance (IGT), and to assess whether the accuracy of triglycerides (TG) can be improved by the use of other variables. METHODS: We studied an Italian cohort of 817 obese children and adolescents (8-18.4 years) who underwent clinical examination, fasting blood analysis and the oral glucose tolerance test (OGTT). The discriminative properties of TG > 1.17 mmol L(-1) were assessed and compared with those observed in a Canadian cohort from which this criterion was derived: 71.4 [57.8-85.1]% sensitivity and 64.1 [57.7-70.4]% specificity. The possible contribution of other variables was evaluated by assessing the net reclassification improvement (NRI), i.e., the net increase in the percentage of subjects correctly classified. RESULTS: Thirty-nine children (4.7%) had IGT. The 1.17 mmol L(-1) TG threshold showed 66.6 [51.8-81.4]% sensitivity and 68.2 [64.9-71.5]% specificity, thus successfully validated. Fasting plasma glucose (FPG) was independently associated with IGT (odds ratio = 3.86 [2.09-7.14], P < 0.001), besides TG. The bivariate criterion of TG ≥ 1.13 mmol L(-1) plus FPG ≥ 4.44 mmol L(-1) had a 69.2 [54.7-83.7]% sensitivity and a 78.2 [76.8-79.6]% specificity, thus displaying a 12.6% NRI (P < 0.001) compared with TG>1.17 mmol L(-1) . CONCLUSIONS: TG > 1.17 mmol L(-1) is a useful criterion to detect roughly 66% of obese children with IGT through OGTT performed in about 33% of all obese children. However, the 'TG≥1.13 mmol L(-1) plus FPG≥4.44 mmol L(-1) ' criterion improved discrimination accuracy, leading to the possibility of detecting even more than 66% of obese children with IGT though limiting OGTT to just 25% of all obese children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.264
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2013
Admission routes1
Has abstractyes

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